- Arslan,Alex, Clustering.jl, https://github.com/JuliaStats/Clustering.jl/blob/master/test/affprop.jl
- Chandraprabhu, A. and R. Anantharaman, 2016, An Introduction to Machine Learning in Julia,https://juliacomputing.com/blog/2016/09/28/knn-char-recognition.html
- Clustering, http://scikit-learn.org/stable/modules/clustering.html
- CRAN Task View: Cluster Analysis & Finite Mixture Models, https://CRAN.R-project.org/view=Cluster
- Data sets that could be used for the fields of machine learning, https://en.wikipedia.org/wiki/List_of_datasets_for_machine_learning_research
- ffcMonthly.pkl, http://www.canisius.edu/~yany/python/ffcMonthly.pkl
- Julia packages, https://pkg.julialang.org/
- Hierarchical clustering (scipy.cluster.hierarchy), https://docs.scipy.org/doc/scipy/reference/cluster.hierarchy.html
- Hierarchical clustering: structured vs unstructured ward , http://scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html#sphx-glr-auto-examples-cluster-plot-ward-structured-vs-unstructured-py
- Julia 0.7 Documentation, https://docs.julialang.org/en/latest/
- Julia, clustering analysis manual, http://clusteringjl.readthedocs.io/en/latest/
- Julia, clustering analysis, https://github.com/JuliaStats/Clustering.jl
- Kaggle Wine data, https://www.kaggle.com/maitree/kmeans-unsupervised-learning-using-wine-dataset/data
- Matlab, unsupervised learning, https://www.mathworks.com/discovery/unsupervised-learning.html
- Tutorial for scipy.cluster.hierarchy, https://stackoverflow.com/questions/21638130/tutorial-for-scipy-cluster-hierarchy
- PCA example with Iris Data-set, http://scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html
- Various Agglomerative Clustering on a 2D embedding of digits, http://scikit-learn.org/stable/auto_examples/cluster/plot_digits_linkage.html#sphx-glr-auto-examples-cluster-plot-digits-linkage-py
- Wind R data set, http://canisius.edu/~yany/RData/wine.RData